Payabli vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Payabli

EmergingFinTech

Embedded Payments

Embedded payments infrastructure platform enabling software companies to add payment acceptance and monetize transactions without building acquiring infrastructure from scratch.

About

Payabli is a Miami-based embedded payments infrastructure company founded in 2021 that provides vertical SaaS platforms and software businesses with the full technical and regulatory infrastructure needed to embed payment acceptance into their products and monetize transaction volume. The platform delivers card-present, card-not-present, and ACH payment acceptance alongside merchant onboarding, underwriting, and risk management — the complex payment facilitation components that software companies historically had to build themselves or outsource to a payment facilitator. Payabli operates as a technology layer on top of sponsor banks and card networks, allowing software platforms to become payment facilitators under their own brand while Payabli manages PCI compliance, fraud monitoring, and settlement operations. The company targets vertical software markets including property management, healthcare, field services, and non-profits where the platform provider has the deepest merchant relationships and is best positioned to bundle payments into the software subscription. Revenue sharing models allow Payabli's software partners to earn a percentage of processing fees on every transaction their customers complete. Payabli competes with Stripe Connect, PayFac-as-a-service providers like Infinicept, and Adyen for Platforms in the embedded payments infrastructure market.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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